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Technical Content

Technical Abstract

Sparse wave-equation deconvolution imaging for improved shallow water demultiple

EAGE - European Association of Geoscientists and Engineers | Gordon Poole, Harrison Moore, Elzbieta Blaszczak, Henry Kerrison, Saba Keynejad, Alessia Taboga, Martin Chappell ©2021 EAGE

The attenuation of surface related multiples is typically one of the most challenging steps in the processing of shallow water marine projects. Least-squares wave-equation deconvolution imaging is a powerful tool to address this challenge, but images derived from a deep target level may produce ...

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Technical Abstract

Unlocking unprecedented seismic resolution with FWI Imaging

EAGE - European Association of Geoscientists and Engineers | Zhiyuan Wei, Jiawei Mei, Zedong Wu, Zhigang Zhang, Rongxin Huang, Ping Wang ©2021 EAGE

A high-resolution seismic image is of great importance to exploration and production in many ways, such as bypassing drilling hazards and identifying compartmentalized reservoirs. To achieve seismic resolution as high as possible, the conventional seismic imaging process takes more of a linear approach to ...

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Technical Abstract

Resolving 4D Overburden Changes with Full-Waveform Inversion

EAGE - European Association of Geoscientists and Engineers | Ololade Bukola, Bingmu Xiao, James Sinden (CGG) ; Edith Miller, Peter Nevill (Chevron Technology Centre) ; Lydia Novakovic (Chevron North America Exploration and Production) ©2021 EAGE

4D time-lapse seismic imaging is typically performed using the same velocity model to migrate the baseline and monitor data. However, in complex cases where one producing reservoir sits above another, significant changes in the properties of the overlying reservoir can result in a 4D ...

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Technical Abstract

Pre-Salt Prospectivity in Brazil and Gabon: Discriminating Between Lakes and Lake-Like Water Bodies

EAGE - European Association of Geoscientists and Engineers | Rob Crossley, Rachael Harrison, Gregor Duval, Alexandra Ashley ©2020 EAGE

Stratal geometries, reservoir and source facies are different in true lakes, in lakes with restricted access to the global ocean, and in “lakes” continuously connected to the global ocean but capped by large quantities of freshwater. We illustrate the importance for exploration and development ...

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Technical Abstract

Resolving Small Scale Lateral Velocity Anomalies without FWI or Stochastic Approaches

EAGE - European Association of Geoscientists and Engineers | Mathieu Reinier, Thibaut Allemand, Nicolas Salaun, Ziqin Yu, Matthieu Pouget, Anne Henry-baudot, Bruno Chaintreuil, Majda Mihoub, Guillaume Gigou, Isabel Espin ©2021 EAGE

Small-scale heterogeneities create distortions in the wavefield that are usually resolved by Full Waveform Inversion (FWI). When FWI fails (for lack of diving waves or low frequencies), recent works promote the use of targeted stochastic approaches maximizing the stack power. We instead revisit here ...

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Technical Abstract

Revealing 4D Subsidence with 3D Water-Bottom Traveltime Inversion

EAGE - European Association of Geoscientists and Engineers | Segolene Dega, Thibaut Allemand, Ziqin Yu, Nicolas Salaun (CGG) ; Abderrahim Lafram, Andrea Grandi, Emerson Jungo (TOTAL E&P) ©2021 EAGE

The quality of time-lapse analysis depends highly on the repeatability of the acquisition. However, in practice, it is almost impossible to perfectly mimic a base survey due to environmental conditions and inaccurate measurements. Lack of repeatability often results in 4D noise, which may compromise ...

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Technical Abstract

Data-driven method for training data selection for deep learning

EAGE - European Association of Geoscientists and Engineers | Celine Lacombe, Issa Hammoud, Jeremie Messud, Hanyuan Peng, Thibault Lesieur, Paulien Jeunesse ©2021 EAGE

Convolutional based deep neural networks can be used in addition to existing workflows, to improve turnaround or as a ‘guide’ for further processing. Whilst a lot of effort has been made to try to improve the DNN architecture for processing tasks or to understand ...

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Technical Abstract

Building and Understanding Deep Neural Networks Components for Seismic Processing: Lessons Learned

EAGE - European Association of Geoscientists and Engineers | Mathieu Chambefort, Jeremie Messud ©2020 EAGE

Learning how to best mimic seismic processing algorithms or workflows with deep learning (DL) has become a very active field of research. However, seismic processing own particularities may necessitate adaptations of current DL methods. In this paper, we explain and illustrate how the different ...

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Technical Abstract

A practical implementation of converted-wave reflection full-waveform inversion

EAGE - European Association of Geoscientists and Engineers | Nabil Masmoudi, Andrew Ratcliffe, Min Wang, Yi Xie (CGG) ; Tengfei Wang (Tongji University) ©2021 EAGE

Depth imaging of converted-wave (P-to-S) ocean-bottom seismic (OBS) data requires a depth model for both the P- and S-wave velocities. Building the S-wave velocity model is very challenging: conventional techniques include PP and PS image registration, or joint PP and PS tomography. These approaches ...

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